### Who Supports Gender Equality?
### Age, Education, and Sexism in the Shadow of the Radical Right in Argentina

## European Journal of Politics and Gender
## DOI: 10.1332/25151088Y2025D000000104

## Santiago Alles
## Departamento de Ciencias Sociales
## Universidad de San Andrés
## <salles@udesa.edu.ar>

## updated: 2025-08-25
## repository: 10.7910/DVN/Q50DQK


Description: Individual-level survey data from 2,667 interviews conducted online between March 2023 and November 2024 as part of the Encuesta de Satisfacción Política y Opinión Pública (ESPOP), carried out by Universidad de San Andrés.

  sample      n
  -------------
  2023-03  1001
  2023-05  1001
  2024-05   335
  2024-11   330


Respondents were presented with three statements related to gender equality and asked to indicate their level of agreement on a five-point scale, ranging from strongly agree to strongly disagree. The dataset includes individual responses to each item, as well as a composite Modern Sexism Index based on these answers. Additional variables include education, age, gender, occupation, and social status.

ESPOP is a recurring, nationwide survey conducted every two months. It interviews a random sample of approximately 1,000 adults aged 18 and older living in Argentina. Sampling quotas based on age and social status are used to ensure national representativeness.

Fieldwork was carried out by Netquest. Survey participation was anonymous.


variable		type    	description
--------		----		-----------
CodPanelista		<string>	Respondent's ID
sample			<string>	Survey sample
region			<string>	Country region
gender_att_idx		<numeric>	Modern Sexism Index
gender_att_men		<numeric>	Agreement with: "In our country, men have more rights than women."
gender_att_prv		<numeric>	Agreement with: "Gender parity laws, by reserving places for women, merely create new privileges."
gender_att_dem		<numeric>	Agreement with: "A government in which women hold half the positions is more democratic."
female			<numeric>	Female respondent (dummy)
age			<numeric>	Respondent's age
cohort			<string>	Respondent's age cohort
education		<string>	Respondent's level of education
medLo_educ		<numeric>	Completed high school, no higher education (dummy)
medUp_educ		<numeric>	Associate degree or some college (dummy)
hi_educ			<numeric>	College degree or graduate education (dummy)
pub_employee		<numeric>	Employed in public sector (dummy)
occupation		<string>	Respondent's occupational status
unemp			<numeric>	Unemployed (dummy)
retired			<numeric>	Retired (dummy)
inactive		<numeric>	Inactive (dummy)
NSE			<string>	Social status
